RRepoGEO

REPOGEO REPORT · LITE

austin-starks/NextTrade

Default branch master · commit 53a3c2ac · scanned 5/9/2026, 12:02:46 AM

GitHub: 1,724 stars · 279 forks

AI VISIBILITY SCORE
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 warn · 0 fail
Objective metadata checks
AI knows your name
3 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface austin-starks/NextTrade, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Reposition the NexusTrade mention in the README

    Why:

    CURRENT
    For a better, faster, cloud-based platform, check out NexusTrade. If you want to learn about algorithmic trading and financial research from a community of data-driven investors, join our free Discord channel! NexusTrade is a AI-Powered platform that streamlines the configuration of trading strategies. It's faster, more configurable, and more feature-rich than NextTrade.
    COPY-PASTE FIX
    Move this block further down, perhaps under a 'Related Projects' or 'Why NexusTrade?' section, *after* NextTrade's core features and value proposition have been clearly established. The opening paragraph should focus solely on NextTrade, for example, ending with 'NextTrade provides a robust, open-source foundation for your trading automation needs.'
  • mediumreadme#2
    Enhance README feature descriptions with keywords from failing queries

    Why:

    CURRENT
    1. Combine conditions to form compound conditions. Combine compound conditions and create trading strategies. ... 2. Create unlimited portfolios with different combinations of strategies ... 4. Backtest those strategies u
    COPY-PASTE FIX
    Expand on the existing feature descriptions to explicitly use terms like 'highly configurable strategy builder,' 'robust backtesting engine,' and 'flexible portfolio management.' For example, '1. **Highly Configurable Strategy Builder:** Combine conditions to form compound conditions and create sophisticated trading strategies. This allows for expressing virtually any trading idea.' and '4. **Robust Backtesting Engine:** Thoroughly test and optimize your strategies against historical data to validate performance before deployment.'
  • lowtopics#3
    Add more specific topics for algorithmic trading capabilities

    Why:

    CURRENT
    automated-trading, finance, frontend, investing, software, stock-market, trading, trading-algorithms, trading-strategies, tradingbot, ui
    COPY-PASTE FIX
    automated-trading, finance, frontend, investing, software, stock-market, trading, trading-algorithms, trading-strategies, tradingbot, ui, backtesting, strategy-optimization, trading-simulation

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface austin-starks/NextTrade
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
MetaTrader 5
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. MetaTrader 5 · recommended 2×
  2. QuantConnect/Lean · recommended 1×
  3. quantopian/zipline · recommended 1×
  4. TradingView · recommended 1×
  5. mementum/backtrader · recommended 1×
  • CATEGORY QUERY
    What tools help me design, backtest, and deploy automated stock trading strategies?
    you: not recommended
    AI recommended (in order):
    1. QuantConnect (QuantConnect/Lean)
    2. Zipline (quantopian/zipline)
    3. MetaTrader 5
    4. TradingView
    5. Backtrader (mementum/backtrader)
    6. Interactive Brokers (IBKR API)
    7. Amibroker

    AI recommended 7 alternatives but never named austin-starks/NextTrade. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a platform to build highly configurable AI-driven trading bots with natural language screening.
    you: not recommended
    AI recommended (in order):
    1. QuantConnect
    2. Lean Engine
    3. Google Cloud
    4. AWS
    5. OpenAI
    6. Alpaca
    7. Python
    8. pandas
    9. scikit-learn
    10. TensorFlow
    11. PyTorch
    12. NLTK
    13. spaCy
    14. OpenAI's GPT models
    15. Google's Gemini
    16. Quantopian
    17. Zipline
    18. Hugging Face Transformers
    19. Blueshift
    20. Interactive Brokers
    21. Java
    22. C#
    23. MetaTrader 5
    24. MQL5
    25. MetaApi

    AI recommended 25 alternatives but never named austin-starks/NextTrade. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    pass

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of austin-starks/NextTrade?
    pass
    AI named austin-starks/NextTrade explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts austin-starks/NextTrade in production, what risks or prerequisites should they evaluate first?
    pass
    AI named austin-starks/NextTrade explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo austin-starks/NextTrade solve, and who is the primary audience?
    pass
    AI named austin-starks/NextTrade explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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  • Brand-free category queries5 vs 2 in Lite
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